4th Workshop on Maritime Computer Vision (MaCVi): Challenge Overview
Benjamin Kiefer, Jan Lukas Augustin, Jon Muhovi\v{c}, Mingi Jeong, Arnold Wiliem, Janez Pers, Matej Kristan, Alberto Quattrini Li, Matija Ter\v{s}ek, Josip \v{S}ari\'c, Arpita Vats, Dominik Hildebrand, Rafia Rahim, Mahmut Karaaslan, Arpit Vaishya, Steve Xie, Ersin Kaya

TL;DR
The MaCVi 2026 workshop at CVPR 2026 presents five maritime computer vision challenges focusing on accuracy and real-time performance, with comprehensive evaluation and insights from top teams.
Contribution
This report introduces new benchmark challenges, evaluation protocols, and datasets for maritime computer vision, along with analysis of emerging methods and practical insights.
Findings
Quantitative results and qualitative comparisons across challenges.
Emerging trends in maritime vision methods.
Technical insights from top-performing teams.
Abstract
The 4th Workshop on Maritime Computer Vision (MaCVi) is organized as part of CVPR 2026. This edition features five benchmark challenges with emphasis on both predictive accuracy and embedded real-time feasibility. This report summarizes the MaCVi 2026 challenge setup, evaluation protocols, datasets, and benchmark tracks, and presents quantitative results, qualitative comparisons, and cross-challenge analyses of emerging method trends. We also include technical reports from top-performing teams to highlight practical design choices and lessons learned across the benchmark suite. Datasets, leaderboards, and challenge resources are available at https://macvi.org/workshop/cvpr26.
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